Approach for Ranking in Recommender System Using Hinge Loss Function
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3963-3_40
Reference20 articles.
1. Ricci F, Rokach L, Shapira B (2011) Introduction to recommender systems handbook. In: Recommender systems handbook. Springer, pp 1–35
2. Bedi P, Agarwal SK, Jindal V (2014) Marst: multi-agent recommender system for e-tourism using reputation based collaborative filtering. In: International workshop on databases in networked information systems, pp 189–201. Springer, Cham
3. Richa, Bedi P (2021) Trust and distrust based cross-domain recommender system. Appl Artif Intell 35(4):326–351
4. Richa and Punam Bedi (2020) Combining trust and reputation as user influence in cross domain group recommender system (CDGRS). J Intell Fuzzy Syst 38(5):6235–6246
5. Sidana S, Trofimov M, Horodnytskyi O, Laclau C, Maximov Y, Amini M-R (2021) User preference and embedding learning with implicit feedback for recommender systems. Data Min Knowl Disc 35(2):568–592
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